Inconsistency and intrinsic difficulty of different diffusion-based generative AI models. Classification error rate and obtained with EfficientNetv2 small.
| FLUX.1-schnell | Stable Diffusion 3 | SD XL Turbo | Wuerstchen | Kandinsky 2.2 | |
|---|---|---|---|---|---|
| Holystic | 0.77% | 1.44% | 1.19% | 0.53% | 1.14% |
| Atomistic | 0.80% | 1.49% | 1.27% | 0.57% | 1.17% |
| Weighted | 0.66% | 1.25% | 1.17% | 0.47% | 0.93% |
| FLUX.1-schnell | Stable Diffusion 3 | SD XL Turbo | Wuerstchen | Kandinsky 2.2 | |
|---|---|---|---|---|---|
| Holystic | 0.77% | 1.44% | 1.19% | 0.53% | 1.14% |
| Atomistic | 0.80% | 1.49% | 1.27% | 0.57% | 1.17% |
| Weighted | 0.66% | 1.25% | 1.17% | 0.47% | 0.93% |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.